Power System Stabilizer Tuning based on Fuzzy-Genetic approach

Abstract

Power System Stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the Low
Frequency Oscillations (LFO) of the electric power system. The PSS is usually designed based on classical control approaches but this Conventional
PSS (CPSS) has some problems. In order to overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this
paper a new Fuzzy type PSS is considered for damping electric power system oscillations. In this Fuzzy approach, the upper and lower bounds of
the Fuzzy membership functions are obtained using Genetic Algorithms (GA) optimization method. The proposed Fuzzy-Genetics PSS (FGPSS) is
evaluated against the Conventional Power System Stabilizer (CPSS) at a single machine infinite bus power system considering system parametric
uncertainties. The simulation results clearly indicate the effectiveness and validity of the proposed method.